Role description
What's in it for you :-
Senior engineer to build and operate Azure-based data and AI solutions for healthcare. Primary depth is general Azure (compute, storage, networking, data services, security) and Azure AI Foundry for model and agent workloads. Works across Microsoft Fabric and other Azure data platforms as needed.
Job Description:
Core Responsibilities
• Build and operate Azure cloud workloads - compute, storage, networking, identity, and managed data services.
• Develop and deploy AI solutions on Azure AI Foundry - models, agents, prompt flows, evaluations, and managed endpoints.
• Implement RAG and agent patterns using Azure AI Search, model catalog, and Foundry tools.
• Build data pipelines across relevant Azure data platforms (Microsoft Fabric, Azure Data Factory, Synapse, ADLS).
• Implement HIPAA/HITRUST controls - encryption, audit logging, BAA-covered services, governance guardrails.
• Ship via Git and CI/CD (Azure DevOps or GitHub Actions); document patterns for the rest of the team.
Technical Requirements: Azure Cloud (Primary)
• 7+ years of cloud engineering experience, with significant time on Azure.
• Hands-on across core Azure services - compute (App Service, AKS, Functions), storage (ADLS Gen2, Blob), networking (VNets, NSGs, Private Link), and Entra ID / RBAC.
• Azure managed data services - Azure SQL, Cosmos DB, Synapse, Azure Data Factory.
• Infrastructure as Code with Terraform or Bicep; CI/CD via Azure DevOps or GitHub Actions.
• Security fundamentals - Key Vault, managed identities, private endpoints, encryption at rest and in transit. Azure AI Foundry (Primary)
• Hands-on with Azure AI Foundry - model deployment, prompt flow, evaluation, and managed endpoints.
• Building agents and tool-using workflows in Foundry.
• RAG implementations using Azure AI Search and embedding models.
• Working with the Foundry model catalog (open-source and proprietary models).
• Observability and guardrails for AI workloads - content safety, telemetry, and quality metrics. Microsoft Fabric & Other Data Platforms
• Working knowledge of Microsoft Fabric - OneLake, Lakehouse, Fabric SQL Warehouse, Data Factory pipelines, Spark Notebooks, Power BI.
• Medallion architecture (Bronze/Silver/Gold) and Delta Lake.
• Data modeling fundamentals - dimensional modeling, lakehouse patterns.
• Comfortable picking up new Azure data services as the platform evolves. Governance & Compliance
• Hands-on implementing HIPAA/HITRUST controls in Azure - encryption, audit logging, BAA-covered services.
• Row-/column-/object-level security patterns in Azure data services.
• Documenting changes well enough to navigate governance and approval processes.
Location: - Remote ( Willing to travel to client locations as needed)
Education: -
Engineering Degree - BE / ME / BTech / M Tech / B.Sc. / M.Sc.
